CGMacros: a scientific dataset for personalized nutrition and diet monitoring

We present CGMacros, a dataset containing multimodal information from two
continuous glucose monitors (CGM), food macronutrients, food photographs, and
physical activity, in addition to anonymized participant demographics,
anthropometric measurements and health parameters from blood analyses and gut
microbiome profiles. CGMacros contains data from 45 study participants (15
healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who
consumed meals with varying and known macronutrient compositions in a free-
living setting for ten consecutive days. To our knowledge, this is the first
database of its kind to be made publicly available. CGMacros, and larger
publicly available datasets that we hope may follow, are essential to
democratize academic research in personalized nutrition and algorithmic
approaches to automated diet monitoring.

本研究提出CGMacros数据集，该数据集涵盖多模态信息：包括两台连续血糖监测仪（continuous glucose monitors, CGM）采集的数据、食物宏营养素信息、食物照片以及身体活动数据，同时还包含匿名化的参与者人口统计学资料、人体测量学指标，以及通过血液分析与肠道微生物组图谱获取的健康参数。CGMacros的数据集来源于45名研究参与者，其中15名为健康成年人、16名为糖尿病前期患者、14名为2型糖尿病患者；这些参与者在连续十天的自由生活环境中，食用了宏营养素组成各异且已知的餐食。据我们所知，这是首个公开可用的同类型数据库。CGMacros以及我们期望后续会涌现的更大规模公开数据集，对于推动个性化营养与自动化饮食监测算法领域学术研究的普惠发展至关重要。

搜集汇总

背景与挑战

背景概述

CGMacros是一个科学数据集，专注于个性化营养和饮食监测，包含多模态数据如连续血糖监测、食物宏量营养素、照片和身体活动，以及参与者健康和人口统计信息。数据集基于45名不同健康状态的参与者在自由生活环境中连续十天的数据收集，旨在促进学术研究，是首个公开的此类数据库。